include configs save in training of transformer

Author: pythonlessons

Tutorials/09_translation_transformer/requirements.txt

@@ -1 +1,3 @@
-beautifulsoup4
+beautifulsoup4
+tf2onnx==1.14.0
+onnx==1.12.0

Tutorials/09_translation_transformer/train.py

@@ -123,6 +123,8 @@ def preprocess_inputs(data_batch, label_batch):
 model2onnx = Model2onnx(f"{configs.model_path}/model.h5", metadata={"tokenizer": tokenizer.dict(), "detokenizer": detokenizer.dict()}, save_on_epoch_end=False)
 encDecSplitCallback = EncDecSplitCallback(configs.model_path, encoder_metadata={"tokenizer": tokenizer.dict()}, decoder_metadata={"detokenizer": detokenizer.dict()})
 
+configs.save()
+
 # Train the model
 transformer.fit(
     train_dataProvider,